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Edge detection is one of the fundamental tasks in image analysis. Proposed research work highlights the detection of edges of each layer separately through Sobel/Laplacian operators and concatenating them with the other layers. This approach gives better results in detecting edges when compared with the existing methods. The original image is transformed to other color models to extract the features effectively. The different color models used in the proposed work are RGB (Red, Green, Blue), YCbCr (Y-Luma, Cb - Blue difference and Cr-Red Difference Chrominance), YUV (Y-Luma, U - Blue…mehr

Produktbeschreibung
Edge detection is one of the fundamental tasks in image analysis. Proposed research work highlights the detection of edges of each layer separately through Sobel/Laplacian operators and concatenating them with the other layers. This approach gives better results in detecting edges when compared with the existing methods. The original image is transformed to other color models to extract the features effectively. The different color models used in the proposed work are RGB (Red, Green, Blue), YCbCr (Y-Luma, Cb - Blue difference and Cr-Red Difference Chrominance), YUV (Y-Luma, U - Blue difference and V-Red Difference Chrominance) and XYZ (Y-Luminance, Z - Blue difference and X-Red Difference Chrominance).The main concept of proposed research work is to develop an algorithm which is device/machine independent to extract the edge detection features using different color models.
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Autorenporträt
Dr. Abhishek Gudipalli is currently working as an Assistant Professor Senior in the School of Electrical Engineering, VIT University, Vellore. He has 09 years of teaching experience. He has published many papers in International & National Journals and conferences. He is a member of IEEE and life member of many technical associations like ISTE,SCRS